About the Company:
Industrious is the largest premium workplace-as-a-service provider and home to the highest-rated workplaces in the industry. Everything we do comes down to creating great days for teams of all sizes and stages, including our own. We believe that what makes a great day at work is the people on your team and the problems you get to solve together. We’re looking for people who love thinking outside the box and thrive in a truly collaborative setting. As teammates, we encourage new ideas and toast every win. We’re excited about having a meaningful impact on people’s workplace experience.
Great days also start when everyone can be their authentic self at work. Diversity of backgrounds, thoughts, and ideas is critical to our success in delivering great workplace experiences, both for our members and for each other. Industrious is committed to creating an inclusive, respectful environment that embraces your individuality and quirkiness. You are valued for who YOU are. We celebrate our people as individuals who can accomplish great things when we work together as one team.
To learn more, visit www.industriousoffice.com/careers.
Industrious is the largest premium flexible workspace company in the world, operating over 250 locations across 10 countries as part of the CBRE portfolio. We design workplaces where teams feel welcomed, supported, and able to do their best work. The same principle guides how we work together as a company.
Industrious forecasts revenue across a global network of flexible workspace locations, and the next step is making that forecasting predictive rather than reactive, while building equally strong visibility into the sales pipeline that feeds it. That is the challenge this role exists to solve.
As Manager, Commercial Analytics, based in New York and reporting into Commercial Strategy & Analytics leadership, you will own the models, data, and narrative that let Finance and commercial leadership see what is coming before it shows up in the numbers. The role calls for Strategic Thinking, because the real value here is spotting what pricing and pipeline trends mean before they hit the topline, and Problem Solving, because the data you need rarely arrives clean or connected.
If you want to build a capability rather than maintain one, and you want your forecasts to be the thing leadership actually plans around, this is a role where that is the job itself.
Your Tuesday starts with a half-built forecast model open on one screen and a message from Finance on the other, asking whether this quarter's number still holds. You pull fresh data from Salesforce and Looker, reconcile it against what Snowflake is telling you, and start testing whether a slowdown you're seeing in one region is noise or signal.
By mid-morning you're on a call with Finance, walking through where the forecast and the budget target diverge and what would need to be true to close the gap: a stronger renewal pricing assumption here, a faster lease-up there. You're not setting the prices yourself, but you are turning what pricing and sales are already seeing into a number Finance can plan against.
In the afternoon you turn to pipeline: which deals are moving, which are stalling, and whether a particular product tier is underperforming across the portfolio. You build the view that did not exist before, the one that lets commercial leadership see sales velocity and conversion the way Finance already sees revenue.
You close the day writing a short memo, not a dashboard dump: here is what we're confident about, here is what's shifting, here is what we'd watch next. It lands in front of people who will act on it without needing to double check your work.
Build and continually refine the models that forecast revenue performance across the global network, so the business can act ahead of a slowdown rather than react to one.
Stand up clear visibility into pipeline health, conversion rates, and sales velocity, turning a gap in the current picture into a view commercial leadership can actually use.
Partner with Finance to connect commercial forecasts to company-level budgets and planning cycles, bridging the gap between target and forecast with assumptions both sides trust.
Shape decisions on pricing, unit economics, and marketing and sales efficiency by turning raw data into analysis people can act on.
Pull disparate, often messy data out of Salesforce, Looker, and Snowflake into one reliable, defensible picture of the business.
Translate models and analysis into memos and presentations that Finance and commercial leadership can act on directly, without needing it re-explained.
This role rewards Ownership, since you will be building much of this analytical foundation yourself, and Communication, since none of it creates value until leadership can understand and act on it.
You love finding the signal in messy data more than you mind the mess itself.
You are energized by owning a forecast end to end, from the raw numbers to the story leadership acts on.
You thrive partnering with Finance and sales leadership directly, without needing a manager to broker the relationship.
You are more motivated by building something that does not exist yet than maintaining something that already runs smoothly.
You love translating a complicated model into a few clear sentences someone can actually use.
You thrive working across global markets, not just the one you can see from your desk.
You need a fully built playbook before you start: revenue operations analytics is the newer, less mature half of this function, and you will be building much of that foundation yourself.
You prefer one deep, narrow technical build over moving between forecasting, pricing input, and pipeline analysis in the same week.
You want a team of analysts around you to divide the work: this is an individual contributor role where you own the output end to end.
You would rather hand off a messy dataset to someone else than be the one who makes sense of it.
A track record building and maintaining forecasting models that have actually guided revenue decisions, not just produced reports.
Demonstrated comfort working with operational and financial metrics side by side, such as pipeline, conversion, and unit economics.
A record of turning messy, disparate data into reliable analysis largely on your own, without needing a data team to do the heavy lifting first.
Proven ability to translate complex analysis into memos and presentations that non-technical stakeholders can act on.
Working fluency with Excel or Google Sheets, Salesforce, Looker, and Snowflake, or directly equivalent tools; experience in a multi-unit portfolio or recurring-revenue business such as hospitality, retail, commercial real estate, or SaaS is a plus.
The base salary for this role is $125,000 to $135,000, depending on experience, skills, and role alignment. This role is also eligible for an annual bonus and participation in our long term incentive program.
At Industrious, we believe a good workplace supports the whole person. Our benefits include:
Heavily subsidized medical, dental, and vision plans to support you and your family
Flexible paid time off, to maintain balance
Paid parental leave to help you welcome a new child and focus on what matters most
Annual professional development grants so you can keep learning and growing
401(k) retirement savings program to support long-term financial wellbeing
Wellness initiatives and additional employee support programs
Specific benefits may vary by role, location, and eligibility requirements.
Equal Employment Opportunity: Industrious is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.